“Although our study doesn’t present ways to mitigate negative hunger-induced emotions, research suggests that being able to label an emotion can help people to regulate it, such as by recognising that we feel angry simply because we are hungry. Therefore, greater awareness of being ‘hangry’ could reduce the likelihood that hunger results in negative emotions and behaviours in individuals.”
https://law.duke.edu/sites/default/files/centers/cspd/musiccomic/Theft.pdf
This comic lays out 2000 years of musical history. A neglected part of musical history. Again and again there have been attempts to police music; to restrict borrowing and cultural cross-fertilization. But music builds on itself. To those who think that mash-ups and sampling started with YouTube or the DJ’s turntables, it might be shocking to find that musicians have been borrowing—extensively borrowing—from each other since music began. Then why try to stop that process? The reasons varied. Philosophy, religion, politics, race—again and again, race—and law. And because music affects us so deeply, those struggles were passionate ones. They still are.
The history in this book runs from Plato to Blurred Lines and beyond. You will read about the Holy Roman Empire’s attempts to standardize religious music with the first great musical technology (notation) and the inevitable backfire of that attempt. You will read about troubadours and church composers, swapping tunes (and remarkably profane lyrics), changing both religion and music in the process. You will see diatribes against jazz for corrupting musical culture, against rock and roll for breaching the color-line. You will learn about the lawsuits that, surprisingly, shaped rap. You will read the story of some of music’s iconoclasts—from Handel and Beethoven to Robert Johnson, Chuck Berry, Little Richard, Ray Charles, the British Invasion and Public Enemy.
To understand this history fully, one has to roam wider still—into musical technologies from notation to the sample deck, aesthetics, the incentive systems that got musicians paid, and law’s 250 year struggle to assimilate music, without destroying it in the process. Would jazz, soul or rock and roll be legal if they were reinvented today? We are not sure. Which as you will read, is profoundly worrying because today, more than ever, we need the arts.
All of this makes up our story. It is assuredly not the only history of music. But it is definitely a part—a fascinating part—of that history. We hope you like it.
Creates an infinite remix of an audio file by finding musically similar beats and computing a randomized play path through them. The default choices should be suitable for a variety of musical styles. This work is inspired by the Infinite Jukebox (http://www.infinitejuke.com) project creaeted by Paul Lamere
It groups musically similar beats of a song into clusters and then plays a random path through the song that makes musical sense, but not does not repeat. It will do this infinitely.
What is Unmixer?
Unmixer does two things: first, it lets you extract loops from any song; second, it lets you remix these loops in a simple interface.
How do I use it?
Upload a song: drag and drop an audio file (MP3, MP4) into the box with the dotted line
Wait for results: processing a new song can take several minutes.
Remix the loops: turn each sound on and off by clicking the box.
Upload more songs: you can mash-up sounds from as many songs as you like.
Extra features:
The BPM indicator in the top right lets you choose the global tempo.
The download button allows you to save a zipfile of all the loops, along with a map of where they occur in the piece.
Simon Popper, Ulysses, [a reinterpretation of James Joyce’s Ulysses (1922) rearranging all the words in the original book in alphabetical order], Privately Printed by Die Keure, Brugge/Bruges, 2006, Limited Edition of 1000 [Motto Books, Geneva]
Welcome to Smithsonian Open Access, where you can download, share, and reuse millions of the Smithsonian’s images—right now, without asking. With new platforms and tools, you have easier access to more than 3 million 2D and 3D digital items from our collections—with many more to come. This includes images and data from across the Smithsonian’s 19 museums, nine research centers, libraries, archives, and the National Zoo.
What will you create?
Download :https://github.com/Tw1ddle/geometrize/releases
Features
Recreate images as geometric primitives.
Start with hundreds of images with preset settings.
Export geometrized images to SVG, PNG, JPG, GIF and more.
Export geometrized images as HTML5 canvas or WebGL webpages.
Export shape data as JSON for use in custom projects and creations.
Control the algorithm at the core of Geometrize with ChaiScript scripts.
Web scraping describes techniques for automatically downloading and processing web content, or converting online text and other media into structured data that can then be used for various purposes. In short, the user writes a program to browse and analyze the web on their behalf, rather than doing so manually. This is a common practice in silicon valley, where open html pages are transformed into private property: Facebook began as a (horny) web scraping project, as did Google and all other search engines. Web scraping is also frequently used to acquire the massive datasets needed to train machine learning models, and has become an important research tool in fields such as journalism and sociology.
I define "scrapism" as the practice of web scraping for artistic, emotional, and critical ends. It combines aspects of data journalism, conceptual art, and hoarding, and offers a methodology to make sense of a world in which everything we do is mediated by internet companies. These companies surveill us, vacuum up every trace we leave behind, exploit our experiences and interject themselves into every possible moment. But in turn they also leave their own traces online, traces which when collected, filtered, and sorted can reveal (and possibly even alter) power relations. The premise of scrapism is that everything we need to know about power is online, hiding in plain sight.
This is a work-in-progress guide to web scraping as an artistic and critical practice, created by Sam Lavigne. I will be updating it over the coming months! I'll also be doing occasional live demos either on Twitch or YoutTube.
Shrub is a tool for painting-and-traveling, and even for painting while moving your own body (for example to use the color of your own pants).
If you touch with two fingers, you can immediately send your drawing as an SMS message. Shrub is designed as a mobile communication tool as much as a mobile drawing tool.
More pro tips: For the best drawings, pinch with your fingers to change the brush size. Twist with your fingers to change the brush softness. And of course, tap with one finger to show and hide the viewfinder.
Blackout poetry is made by colouring over parts of an existing text, so that only selected words remain visible, creating a poem.
To use this tool, you can select a text from the samples, or paste your own text source into the custom text field. Your chosen text will appear in the large box to the right.
With your mouse or touchscreen, select the words from the text you want to keep, and, when you are ready, press the black out button.
If you want to save the result as an image, maybe to post to your social network of choice, scroll down and hit Render as image. You can then save the image directly to your device.
3d collages composed in Unity with scans collected in botanic gardens, backyards, beaches, natural parks…
New rules for old games! The Board Game Remix Kit is a collection of tips, tweaks, reimaginings and completely new games that you can play with the board and pieces from games you might already own: Monopoly, Cluedo, Scrabble and Trivial Pursuit.
The 26 rule tweaks and new games include:
Full Houses: poker, but played with Monopoly properties
Citygrid: a single-player city-building game
Use Your Words: Scrabble with storytelling
Them's Fightin' Words: a game of making anagrams, and arguing about which one would win in a fight
Hunt the Lead Piping: hiding and searching for the Cluedo pieces in your actual house
Guess Who Done It: A series of yes/no questions to identify the murderer (contributed by Meg Pickard)
Zombie Mansion: use the lead piping to defend the Cluedo mansion
Judy Garland on the Moon with a Bassoon: a drawing game that uses the answers to trivia questions as prompts
The Board Game Remix Kit was originally released in 2010 by the company Hide&Seek (which closed in 2014). We are releasing it here as a pdf (for phones/computers) and an epub (for ereaders) under a CC-BY-SA license.
The Organization for Transformative Works (OTW) is a nonprofit organization, established by fans in 2007, to serve the interests of fans by providing access to and preserving the history of fanworks and fan culture in its myriad forms. We believe that fanworks are transformative and that transformative works are legitimate.
We are proactive and innovative in protecting and defending our work from commercial exploitation and legal challenge. We preserve our fannish economy, values, and creative expression by protecting and nurturing our fellow fans, our work, our commentary, our history, and our identity while providing the broadest possible access to fannish activity for all fans.
ComboGAN: Unrestrained Scalability for Image Domain Translation Asha Anoosheh, Eirikur Augustsson, Radu Timofte, Luc van Gool In Arxiv, 2017.
https://arxiv.org/pdf/1712.06909.pdf
This year alone has seen unprecedented leaps in the area of learning-based image translation, namely CycleGAN, by Zhuet al. But experiments so far have been tailored to merely two domains at a time, and scaling them to more would re-quire an quadratic number of models to be trained. And with two-domain models taking days to train on current hardware,the number of domains quickly becomes limited by the time and resources required to process them. In this paper, we pro-pose a multi-component image translation model and training scheme which scales linearly - both in resource consumption and time required - with the number of domains. We demonstrate its capabilities on a dataset of paintings by 14different artists and on images of the four different seasons in the Alps. Note that 14 data groups would need(14choose2) =91 different CycleGAN models: a total of 182 genera-tor/discriminator pairs; whereas our model requires only 14generator/discriminator pairs
UNIT: UNsupervised Image-to-image Translation Networks : https://github.com/mingyuliutw/UNIT
Literary analysts have long noticed the hand of another author in Shakespeare’s Henry VIII. Now a neural network has identified the specific scenes in question—and who actually wrote them.
For much of his life, William Shakespeare was the house playwright for an acting company called the King’s Men that performed his plays on the banks of the River Thames in London. When Shakespeare died in 1616, the company needed a replacement and turned to one of the most prolific and famous playwrights of the time, a man named John Fletcher.
Create beautiful, wild and weird images with GAN.
A light Rust API for Multiresolution Stochastic Texture Synthesis [1], a non-parametric example-based algorithm for image generation.
Despite the rise of ebooks, the interest in cover design and the look of physical books is probably stronger than ever. The rate of books being published grows ever higher, and they all need covers, even if it's just a thumbnail for a Kindle edition on Amazon.
Cover designers the world over have access, via online art databases and stock libraries, to a vast array of images that can be used to decorate and, with any luck, sell books. Unfortunately, all those designers tend to have access to the same databases and libraries, which means you sometimes end up with books which feature photographs that look strangely familiar…
The ship wherein Theseus and the youth of Athens returned from Crete had thirty oars, and was preserved by the Athenians down even to the time of Demetrius Phalereus, for they took away the old planks as they decayed, putting in new and stronger timber in their places, insomuch that this ship became a standing example among the philosophers, for the logical question of things that grow; one side holding that the ship remained the same, and the other contending that it was not the same.
— Plutarch, Theseus
It's all a game of construction — some with a brush, some with a shovel, some choose a pen.
Jackson Pollock
…and some, including myself, choose neural networks. I’m an artist, and I've also been building commercial software for a long while. But art and software used to be two parallel tracks in my life; save for the occasional foray into generative art with Processing and computational photography, all my art was analog… until I discovered GANs (Generative Adversarial Networks).
Since the invention of GANs in 2014, the machine learning community has produced a number of deep, technical pieces about the technique (such as this one). This is not one of those pieces. Instead, I want to share in broad strokes some reasons why GANs are excellent artistic tools and the methods I have developed for creating my GAN-augmented art.
https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/
https://github.com/eriklindernoren/PyTorch-GAN
https://heartbeat.fritz.ai/introduction-to-generative-adversarial-networks-gans-35ef44f21193
https://github.com/nightrome/really-awesome-gan
https://github.com/zhangqianhui/AdversarialNetsPapers
https://github.com/io99/Resources
https://github.com/yunjey/pytorch-tutorial
https://github.com/bharathgs/Awesome-pytorch-list
https://old.reddit.com/r/MachineLearning
http://www.codingwoman.com/generative-adversarial-networks-entertaining-intro/
https://medium.com/@jonathan_hui/gan-gan-series-2d279f906e7b
https://www.youtube.com/channel/UC9OeZkIwhzfv-_Cb7fCikLQ/videos
https://www.youtube.com/watch?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&v=aircAruvnKk
https://www.youtube.com/watch?list=PLxt59R_fWVzT9bDxA76AHm3ig0Gg9S3So&v=ZzWaow1Rvho
Repaint your picture in the style of your favorite artist.
About
Our mission is to provide a novel artistic painting tool that allows everyone to create and share artistic pictures with just a few clicks. All you need to do is upload a photo and choose your favorite style. Our servers will then render your artwork for you. We apply an algorithm developed by Leon Gatys, Alexander Ecker and Matthias Bethge. The website was originally created by Łukasz Kidziński and Michał Warchoł. We have now joined forces to provide you with the latest technology in even more accessible way.
Our Team
Five researchers from the Bethge lab at University of Tübingen (Germany), CHILI Lab at École polytechnique fédérale de Lausanne (Switzerland) and Université catholique de Louvain (Belgium).
By David Shultz
Apr. 22, 2016 , 10:15 AM
When it comes to the origin of Western fairy tales, the 19th century Brothers Grimm get a lot of the credit. Few scholars believe the Grimms were actually responsible for creating the tales, but academics probably didn’t realize how old many of these stories really are. A new study, which treats these fables like an evolving species, finds that some may have originated as long as 6000 years ago.
The basis for the new study, published in Royal Society Open Science, is a massive online repository of more than 2000 distinct tales from different Indo-European cultures known as the Aarne–Thompson–Uther Index, which was compiled in 2004. Although not all researchers agree on the specifics, all modern Indo-European cultures (encompassing all of Europe and much of Asia) descended from the Proto-Indo-European people who lived during the Neolithic Period (10,200 B.C.E.–2000 B.C.E.) in Eastern Europe. Much of the world’s modern language is thought to have evolved from them.
Copying an element from a photo and pasting it into a painting is a challenging task. Applying photo compositing techniques in this context yields subpar results that look like a collage --- and existing painterly stylization algorithms, which are global, perform poorly when applied locally. We address these issues with a dedicated algorithm that carefully determines the local statistics to be transferred. We ensure both spatial and inter-scale statistical consistency and demonstrate that both aspects are key to generating quality results. To cope with the diversity of abstraction levels and types of paintings, we introduce a technique to adjust the parameters of the transfer depending on the painting. We show that our algorithm produces significantly better results than photo compositing or global stylization techniques and that it enables creative painterly edits that would be otherwise difficult to achieve.
When computer software automatically generates output that is not identical to its owntext, some of which is potentially copyrightable and some of which is not, difficult problemsarise in deciding to whom ownership rights in the output should be allocated. Applying thetraditional authorship tests of copyright law does not yield a clear solution to this problem. Inthis Article, Professor Samuelson argues that allocating rights in computer-generated outputto the user of the generator program is the soundest solution to the dilemma because it is theone most compatible with traditional doctrine and the policies that underlie copyright law.
This project will fund the production, via crowd sourcing, of a never-before-released translation of Herman Melville's classic Moby Dick in Japanese emoji icons.
Methodology
Each of Moby Dick's 6,438 sentences will be translated 3 times by different Amazon Mechanical Turk workers. Those results will then be voted on by another set of workers, and the most popular version of each sentence will be selected for inclusion in the book.
Here is a sample of a test run I've done on the first couple of chapters:
In the book, the sentences will be arranged with the Emoji on top of the page and the English sentence at the bottom.
A Chrome experiment webapp that glitches photos
Collaging like Painting with clouds...
Satellite Collections
digital prints
2009-2011
You can see from pole to pole and across oceans and continents and you can watch it turn and there's no strings holding it up, and it's moving in a blackness that is almost beyond conception.
-Eugene Cernan, an astronaut on the Apollo 17, on seeing the Earth from space
In all of these prints, I collect things that I've cut out from Google Satellite View-- parking lots, silos, landfills, waste ponds. The view from a satellite is not a human one, nor is it one we were ever really meant to see. But it is precisely from this inhuman point of view that we are able to read our own humanity, in all of its tiny, repetitive marks upon the face of the earth. From this view, the lines that make up basketball courts and the scattered blue rectangles of swimming pools become like hieroglyphs that say: people were here.
The alienation provided by the satellite perspective reveals the things we take for granted to be strange, even absurd. Banal structures and locations can appear fantastical and newly intricate. Directing curiosity toward our own inimitably human landscape, we may find that those things that are most recognizably human (a tangle of carefully engineered water slides, for example) are also the most bizarre, the most unlikely, the most fragile.
Echo Nest Remix is the Internet Synthesizer. Make amazing things from music, automatically.
Turn any music or video into Python or JavaScript code.
Echo Nest Remix lets you remix, re-edit, and reimagine any piece of music and video, automatically and algorithmically.
Remix has done the following: played a song forever, walkenized and cowbellized hundreds of thousands of songs in a week, reversed basically everything, beat matched two songs, split apart DJ mixes by their individual tracks, made new kinds of video mashups, corrected sloppy drumming, synced video to a song, transitioned between multiple covers of the same song, made a cat play piano, and taught dogs to play dubstep. Check out all the examples here.
Remix is available as an open source SDK for you to use, for Mac, Linux, and Windows:
Install for Python: sudo pip install remix
. Full installation details, packages for Mac and Windows, and complete Python documentation are here.
Try JavaScript: Test out remix.js here.
Download JavaScript: remix.js. Full JavaScript install details and documentation are here.
[ About Re:Sound Bottle -second mix- ]
Experimental sound medium that transforms recorded everyday sounds into music
[ Concept ]
• Allows anyone to create music using sounds from daily life
• Communication that arises from intuitive sound interaction
The conventional way of experiencing music is usually through existing technologies such as the ipod or the radio. However, this style of experiencing music takes place in a given form; is static and as a result leaves us dissatisfied.
To really enjoy music, we need to find music through sounds around us. We need to stop being tied down with new gadgets that provide the music for us, but to search for music ourselves.
A series of ideas like these lead me to create this device.
This creation's main concept is to record sounds from daily life. It is the concept of ‘collecting sounds in a bottle’. You choose the sounds collected in the bottle. Using everyday sounds as a musical component establishes a new understanding of the sounds we listen to everyday. By collecting your own sampling of sounds, you encounter a unique piece of music that can be experienced only once.
This device will bring a smile to anyone, as many will be able to experience the charm of music, leading them to turn music into something they love and adore.
Created by Jun Fujiwara
Why are some ideas, processes and products (or, memes) popular, and others not? And - What is the unit of culture? For that matter: What is `Culture'? This short book synthesizes the Systems Model of Creativity (Csikszentmihalyi 1988, 2014) and Evolutionary Epistemology (Campbell 1974) to explain why some things are popular, and defines and describes the structure of the Meme, the unit of culture (Dawkins 1976).
All of the English dialogue in "Star Wars", split into words, and sorted alphabetically.
Fun facts:
The word "lightsaber" only appears once in this film.
There are 43m5s of spoken English, 81m39s of other.
The most common word is "the", of course, said 368 times.
The word with most screen time is "you", at 52.56 seconds.
There are 1695 different words, and 11684 total words.
The longest words are "responsibility," "malfunctioning", "worshipfulness", and "identification", all 14 letters.
I labeled the words manually (!) using some software I wrote specifically for the purpose.
This is the Special Edition to troll Han-shot-first purists. Everyone knows the orig is the most legit.
A bit more information: http://radar.spacebar.org/f/a/weblog/...
Videogrep is a python script that searches through dialog in videos and then cuts together a new video based on what it finds. Basically, it’s a command-line “supercut” generator. The code is here on github.
The script searches through a video’s associated subtitle file (which needs to be in the same folder as the video, in standard .srt format), identifies timestamps for the dialog, and then uses the wonderful moviepy library to generate the new final cut.
Tausende Gangnam-Style- und Harlem-Shake-Videos auf Youtube sind der Beleg: Remix ist heute ein Massenphänomen. War das 20. Jahrhundert noch geprägt von zentralisierter Kulturproduktion, laden heute Computer, Videohandys und Internet zu kreativer und öffentlicher Interaktion mit Kulturgütern ein.
Viele der erfolgreichsten Videos auf Youtube und Facebook profitieren davon, dass andere NutzerInnen eigene Versionen von ihnen erstellen und so zur Bekanntheit des Originals beitragen. Die Bandbreite reicht dabei von verwackelten Handy-Videos bis hin zu aufwendigen Remixversionen. Sich für die Erstellung von Werken bei Vorhandenem zu bedienen, ist kein neues Phänomen. Der Blogger Malte Welding illustrierte diesen Umstand einmal unter Verweis auf Wolfgang Amadeus Mozart, der Bach-Fugen bearbeitete und die den Fugen voranstehenden Präludien mit Eigenkompositionen ersetzte, die für Streicher geeignet waren: „Er remixte Bach. Er mashte ihn, er fledderte die toten Noten und schuf etwas Neues.“
« Claude Levi-Strauss : les artistes bricoleurs se retrouvent face à ensemble d’objets hétéroclites qu’ils interrogent pour comprendre et imaginer ce que chacun d’eux pourrait signifier. Chaque élément représente un ensemble de relations à la fois concrètes et virtuelles, ce sont des opérateurs. La particularité de ces objets est qu’ils ont déjà servis et les possibilités de leur ré-emploi demeurent toujours limitées par ce qui subsiste en eux de cette histoire passée. Leur usage originel fait d’eux des éléments pré-contraints et ouvrés ; ils ont donc été travaillés par un précédent auteur qui leur a attribué une signification précise et soumise à l’œuvre qu’il réalisait. Le second auteur s’affairera ainsi à démonter cet ensemble de signification afin d’en créer de nouvelles. Yann Beauvais et J-M Bouhour confirment, les deux lois fondamentales de détournement sont : - la perte d’importance allant jusqu’à la déperdition du sens premier de chaque élément autonome détourné, et en même temps - l’organisation d’un nouvel ensemble signifiant qui confère à chaque élément sa nouvelle portée. »
Happy Safari - Pie Brown
cedric Bernadotte : musique et montage,
Fred : Strentz
http://soundcloud.com/pie-brown/sets/lanpebre/
Total Recut provides online resources and social networking opportunities for fans and creators of video recuts, remixes and mash-ups. Users can watch videos or showcase their own work in the galleries, download copyright free source material to use in their own remix projects, learn about remix culture and copyright issues, undertake instructional video tutorials and enter contests to win prizes or just for fun.
Video recuts are short videos, usually found online, that remix found footage from various sources in new ways to create different interpretations and alternative meanings. The facilities and resources on this site are implemented utilising a wiki social network environment whereby registered users can add to and modify almost all content on the site e.g. submit videos to the galleries, rate, comment, update details, flag inappropriate content. Video recuts have become extremely popular on the web since video sharing networks like YouTube gave people the ability to broadcast their work to a potentially large audience for free.
Total Recut is a one stop shop for all things remixed. Users can browse, search and watch the latest recuts, enter competitions to win prizes and acclaim, use online video tutorials to improve their remixing skills, find out about and contact other remix artists and download copyright-free source material to use in their own work.
Who Wore It Better is an ongoing visual research project presenting associations and common practices in contemporary art. This platform was created to promote formal and conceptual dialogue over originality.
Site featuring the artwork of Jason Salavon. Work pages present a variety of projects created since 1991. The info pages include contact, CV, and publicity material. The feed contains posts, updates, and other newsy items.